Triple
T276915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump University |
E5268
|
entity |
| Predicate | closureReason |
P8451
|
FINISHED |
| Object | legal and regulatory pressure |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: legal and regulatory pressure | Statement: [Trump University, closureReason, legal and regulatory pressure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closureReason Context triple: [Trump University, closureReason, legal and regulatory pressure]
-
A.
closureAnnouncedBy
Indicates that an entity’s closure has been formally communicated or declared by a specified agent or source.
-
B.
closed
Indicates that an entity has brought something (such as an object, container, or space) from an open state into a shut or sealed state, or that it is currently in that shut state.
-
C.
closingDoxology
Indicates the concluding liturgical or devotional formula of praise that formally ends a prayer, hymn, or religious text.
-
D.
cancellation
Indicates that a previously planned or scheduled event, action, or agreement is being annulled, terminated, or rendered no longer valid.
-
E.
closureContext
Indicates the surrounding scope or environment in which an operation, expression, or function is defined and executed, capturing the variables and bindings available to it.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25ded68c88190b1fc595ce329aeb9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7480e881909399beccfc7ffb81 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2d94388190aeda17ddd42b4ac9 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.